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View Code? Open in Web Editor NEWTwin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment
License: MIT License
Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment
License: MIT License
I noticed in your code you only check if the average of the last 10 episodes are above 300. But on the leaderboard page it requires that the last 100 episode average is above 300. Did you test it with such a large averaging window? The reason I ask is because from the figures in this #2 it appears that the reward signal is not that stable to get such a high average. I've been trying to solve the same environment with DDPG and the agent will master it but make a few mistakes in between making it hard to get the 100-episode average above 300.
Also did you ever experience the agent forgetting what it has learned after training the model longer?
May I ask what are your hyperparameters for lunar lander?
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